Keywords: Big Data, Data Collection, Data Science Studies, Data Scientists, Informed Consent, Machine Learning Algorithms, Regulation, Virtual
Author: A. Michael Froomkin
Publisher: Yale Journal of Health Policy, Law & Ethics, and Yale Journal of Law & Technology
Publication Year: 2019
Summary: The following article focuses on how a regulation was changed in 2019 to revise what it means for the requirement of informed consent. Now that companies collect data virtually everywhere and data scientists are trying to find correlations in virtually anything i.e. Machine Learning algorithms clustering people in an uneasily explained way, informed consent is not as easily given when talking about Big Data. This change could be better as previously the rules were the same when discussing human subjects for science experiments and data science studies.
